Alonso is a biomedical engineer and has been member of the Radiomics team since 2018. He is currently pursuing his PhD, working on whole-body diffusion MRI as a biomarker of bone metastases, and on brain perfusion MRI for tumour characterization.
Scientific trajectory
In 2014, he obtained his B.Sc. at Universidad Carlos III de Madrid and his M.Sc. at Katholieke Universiteit Leuven in 2017, focusing on image processing, but also glancing at medical image acquisition, computer vision and machine learning within the healthcare context.
At VHIO, he has had the opportunity to work on identifying and analysing cancer treatment hyperprogression response in patients treated with immunotherapy, and has also analyzed diffusion MRI, looking for relations between quantitative imaging and histological evidence.
He has recently studied the role of MR imaging shape and texture in the prognosis of patients with brain glioblastoma and he is currently studying brain disease differentiation through DSC perfusion MRI. Learning a bit more every day about quantitative MRI, he is also analyzing the potential of diffusion-weighted imaging to assess the response to treatment of bone metastases.
Links and contact
- LinkedIn
- ORCID
- Github
- Email
Relevant publications
A Pons-Escoda, A Garcia-Ruiz, et al., R Perez-Lopez, C Majos. Voxel-level analysis of normalized DSC-PWI time-intensity curves: a potential generalizable approach and its proof of concept in discriminating glioblastoma and metastasis. European Radiology 32, 6, 3705-3715 (2022); doi: 10.1007/s00330-021-08498-1.
K Bernatowicz, F Grussu, M Ligero, Garcia-Ruiz A et al., R Perez-Lopez. Robust imaging habitat computation using voxel-wise radiomics features. Scientific Reports 11, 20133 (2021); doi:10.1038/s41598-021-99701-2.
M Ligero, A Garcia-Ruiz, et al., R Perez-Lopez. A CT-based Radiomics Signature Is Associated with Response to Immune Checkpoint Inhibitors in Advanced Solid Tumors. Radiology 299, 1, 109-119 (2021); doi: 10.1148/radiol.2021200928.
A Garcia-Ruiz, P Naval-Baudin, M Ligero, et al., R Perez-Lopez. Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma. Scientific Reports 11, 1, 695 (2021); doi: 10.1038/s41598-020-79829-3.
M Ligero, O Jordi-Ollero, K Bernatowicz, A Garcia-Ruiz, et al., R Perez-Lopez. Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis. European Radiology. 31, 3, 1460–1470 (2020); doi: 10.1007/s00330-020-07174-0
A Pons-Escoda, A Garcia-Ruiz, et al., R Perez-Lopez, C Majos. Presurgical Identification of Primary Central Nervous System Lymphoma with Normalized Time-Intensity Curve: A Pilot Study of a New Method to Analyze DSC-PWI. American Journal of Neuroradiology 41, 10, 1816-1824 (2020); doi: 10.3174/ajnr.a6761.
S M Zunder, R Perez-Lopez, …, A Garcia-Ruiz, et al. W E Mesker. Correlation of the tumour-stroma ratio with diffusion weighted MRI in rectal cancer. European Journal of Radiology 133, 109345-109345 (2020); doi: 10.1016/j.ejrad.2020.109345
I Matos, …, A Garcia Ruiz, et al., Perez-Lopez R, Garralda, E. Capturing Hyperprogressive disease with immune checkpoint inhibitors using RECIST 1.1 criteria. Clinical Cancer Research 26, 8, 1846-1855 (2020); ISSN 1078-0432; doi: 10.1158/1078-0432.CCR-19-2226
